Presentación Clase 06 Junio, 2025.

library(plotly)

x <- c(2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013)
y_television <- c(74, 82, 80, 74, 73, 72, 74, 70, 70, 66, 66, 69)
y_internet <- c(13, 14, 20, 24, 20, 24, 24, 40, 35, 41, 43, 50)
data <- data.frame(x, y_television, y_internet)

xaxis <- list(title = "Año",
              showline = TRUE,
              showgrid = TRUE,
              gridcolor = 'rgb(230,230,250)', # lila claro
              linecolor = 'rgb(160, 82, 170)',
              linewidth = 2,
              tickcolor = 'rgb(160, 82, 170)',
              ticks = 'outside',
              tickfont = list(family = 'Arial', size = 12, color = '#3c003f'))

yaxis <- list(title = "Porcentaje",
              showline = TRUE,
              showgrid = TRUE,
              gridcolor = 'rgb(230,230,250)', # lila claro
              linecolor = 'rgb(160, 82, 170)',
              tickcolor = 'rgb(160, 82, 170)',
              ticks = 'outside',
              tickfont = list(family = 'Arial', size = 12, color = '#3c003f'))

margin <- list(l = 80, r = 80, t = 80, b = 80)

# Anotaciones
television_1 <- list(xref = 'paper', yref = 'y', x = 0.05, y = y_television[1],
                     text = paste('Televisión', y_television[1], '%'),
                     font = list(family = 'Arial', size = 14, color = '#6a0dad'), showarrow = FALSE)

internet_1 <- list(xref = 'paper', yref = 'y', x = 0.05, y = y_internet[1],
                   text = paste('Internet', y_internet[1], '%'),
                   font = list(family = 'Arial', size = 14, color = '#9d4edd'), showarrow = FALSE)

television_2 <- list(xref = 'paper', x = 0.95, y = y_television[12],
                     text = paste('Televisión', y_television[12], '%'),
                     font = list(family = 'Arial', size = 14, color = '#6a0dad'), showarrow = FALSE)

internet_2 <- list(xref = 'paper', x = 0.95, y = y_internet[12],
                   text = paste('Internet', y_internet[12], '%'),
                   font = list(family = 'Arial', size = 14, color = '#9d4edd'), showarrow = FALSE)

# Gráfico
fig <- plot_ly(data, x = ~x) %>%
  add_trace(y = ~y_television, type = 'scatter', mode = 'lines',
            line = list(color = '#6a0dad', width = 2), name = 'Televisión') %>%
  add_trace(y = ~y_internet, type = 'scatter', mode = 'lines',
            line = list(color = '#9d4edd', width = 2), name = 'Internet') %>%
  add_trace(x = ~c(x[1], x[12]), y = ~c(y_television[1], y_television[12]),
            type = 'scatter', mode = 'markers',
            marker = list(color = '#6a0dad', size = 6)) %>%
  add_trace(x = ~c(x[1], x[12]), y = ~c(y_internet[1], y_internet[12]),
            type = 'scatter', mode = 'markers',
            marker = list(color = '#9d4edd', size = 6)) %>%
  layout(title = list(text = "Fuente principal de noticias", font = list(size = 20, color = '#3c003f')),
         xaxis = xaxis,
         yaxis = yaxis,
         margin = margin,
         annotations = list(television_1, internet_1, television_2, internet_2),
         showlegend = FALSE,
         plot_bgcolor = 'rgb(248,244,252)',
         paper_bgcolor = 'white')

fig

library(plotly)

month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
           'August', 'September', 'October', 'November', 'December')
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2014, low_2014)
data$average_2014 <- rowMeans(data[, c("high_2014", "low_2014")])
data$month <- factor(data$month, levels = data[["month"]])

fig <- plot_ly(data, x = ~month, y = ~high_2014, type = 'scatter', mode = 'lines',
               line = list(color = 'transparent'),
               showlegend = FALSE, name = 'High 2014')

fig <- fig %>% add_trace(y = ~low_2014, type = 'scatter', mode = 'lines',
                         fill = 'tonexty',
                         fillcolor = 'rgba(106,13,173,0.2)',  # morado claro y transparente
                         line = list(color = 'transparent'),
                         showlegend = FALSE, name = 'Low 2014')

fig <- fig %>% add_trace(x = ~month, y = ~average_2014, type = 'scatter', mode = 'lines',
                         line = list(color = 'rgb(106,13,173)', width = 3),  # morado oscuro
                         name = 'Average')

fig <- fig %>% layout(title = "Average, High and Low Temperatures in New York",
                      paper_bgcolor = 'rgb(255,255,255)',
                      plot_bgcolor = 'rgb(242,235,247)',  # fondo muy claro morado
                      xaxis = list(title = "Months",
                                   gridcolor = 'rgb(255,255,255)',
                                   showgrid = TRUE,
                                   showline = FALSE,
                                   showticklabels = TRUE,
                                   tickcolor = 'rgb(127,127,127)',
                                   ticks = 'outside',
                                   zeroline = FALSE),
                      yaxis = list(title = "Temperature (degrees F)",
                                   gridcolor = 'rgb(255,255,255)',
                                   showgrid = TRUE,
                                   showline = FALSE,
                                   showticklabels = TRUE,
                                   tickcolor = 'rgb(127,127,127)',
                                   ticks = 'outside',
                                   zeroline = FALSE))

fig

dens <- with(diamonds, tapply(price, INDEX = cut, density))
df <- data.frame(
  x = unlist(lapply(dens, "[[", "x")),
  y = unlist(lapply(dens, "[[", "y")),
  cut = rep(names(dens), each = length(dens[[1]]$x))
)

fig <- plot_ly(df, x = ~x, y = ~y, color = ~cut) 
fig <- fig %>% add_lines()

fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species)

fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species, colors = "Purples")
fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, type = 'scatter',
               mode = 'markers', symbol = ~Species, symbols = c('circle','x','o'),
               color = I('#6a0dad'), marker = list(size = 10))
fig

d <- diamonds[sample(nrow(diamonds), 1000), ]

fig <- plot_ly(
  d, x = ~carat, y = ~price,
  color = ~carat, size = ~carat,
  colors = c("#ede1f5", "#6a0dad", "#2d0034") 
)

fig

d <- diamonds[sample(nrow(diamonds), 1000), ]

fig <- plot_ly(
  d,
  x = ~carat,
  y = ~price,
  text = ~paste("Price: ", price, '$<br>Cut: ', cut),
  hoverinfo = "text",
  color = ~carat,
  size = ~carat,
  colors = c("#ede1f5", "#6a0dad", "#2d0034")  # Gama morada
)

fig

x <- c("giraffes", "orangutans", "monkeys")
y <- c(20, 14, 23)

fig <- plot_ly(
  x = x,
  y = y,
  type = "bar",
  name = "SF Zoo",
  marker = list(color = "#6a0dad")  # Morado fuerte
) %>%
  layout(
    title = list(text = "Cantidad de Animales en SF Zoo", font = list(size = 18)),
    xaxis = list(
      title = "Animales",
      showgrid = TRUE,
      gridcolor = "rgba(106,13,173,0.2)",  # cuadricula en morado claro y suave
      tickfont = list(size = 14, color = "#4b0082") # ticks morados oscuros
    ),
    yaxis = list(
      title = "Cantidad",
      showgrid = TRUE,
      gridcolor = "rgba(106,13,173,0.2)",
      zeroline = TRUE,
      zerolinecolor = "#6a0dad",
      zerolinewidth = 2,
      tickfont = list(size = 14, color = "#4b0082")
    ),
    plot_bgcolor = "white",   # fondo blanco
    paper_bgcolor = "white"   # fondo general blanco
  )

fig

Animals <- c("giraffes", "orangutans", "monkeys")
SF_Zoo <- c(20, 14, 23)
LA_Zoo <- c(12, 18, 29)
data <- data.frame(Animals, SF_Zoo, LA_Zoo)

fig <- plot_ly(data, x = ~Animals, y = ~SF_Zoo, type = 'bar', name = 'SF Zoo',
               marker = list(color = '#6a0dad'))  # morado fuerte

fig <- fig %>% add_trace(y = ~LA_Zoo, name = 'LA Zoo',
                         marker = list(color = '#9b59b6'))  # morado más claro

fig <- fig %>% layout(
  yaxis = list(
    title = 'Count',
    showgrid = TRUE,
    gridcolor = 'rgba(155,89,182,0.2)',  # cuadricula morada clara
    zeroline = TRUE,
    zerolinecolor = '#6a0dad',
    zerolinewidth = 2,
    tickfont = list(size = 14, color = '#4b0082')
  ),
  xaxis = list(
    title = 'Animals',
    tickfont = list(size = 14, color = '#4b0082'),
    showgrid = FALSE
  ),
  barmode = 'group',
  plot_bgcolor = 'white',
  paper_bgcolor = 'white',
  title = list(text = 'Conteo de Animales en Zoológicos', font = list(size = 18))
)

fig

p=ggplot(data=mpg,mapping = aes(x=displ,y=hwy, color=class)) + geom_point() 

ggplotly(p)